biostudies-otherUnknown61Zainab Ashimiyu-AbdusalamJournal of chemical information and modeling2530-2536https://www.ebi.ac.uk/biostudies/studies/MODEL2406030002biostudies-other34038123Zainab Ashimiyu-AbdusalamMiquel Duran-FrigolafalseFrancoeur2021 - SolTranNet–A Machine Learning Tool for Fast Aqueous Solubility Prediction<p>Fast aqueous solubility prediction based on the Molecule Attention Transformer (MAT). The authors used AqSolDB to fine-tune the MAT network to solubility prediction, achieving competitive scores in the Second Challenge to Predict Aqueous Solubility (SC2).</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Predicts log of the solubility of small molecules.<br><normal>Model Encoded by:</normal> Miquel Duran Frigola (Ersilia)<br><normal>Metadata Submitted in BioModels by:</normal> Zainab Ashimiyu-Abdusalam</p><p>Implementation of this model code by <a href="https://ersilia.io/">Ersilia</a> is available here: <br><a href="https://github.com/ersilia-os/eos6oli">https://github.com/ersilia-os/eos6oli</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-06-03T00:00:00Z2025-07-14T17:02:02.709Z2025-03-31T13:26:19.623ZMODEL24060300020000009000230500027750002135STATO:0000233STATO:000056434038123NCIT:C53237NCIT:C64214NCIT:C64364NCIT:C134259NCIT:C16309NCIT:C176258topic_3336topic_0154topic_3474data_1497CHEMINF:000018OBI_0200032PATO:0001538MI:2045MI:2160eos6oliSolTranNet_paperSolTranNetOVHAW8